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Conference Paper
Moving Object Removal Based on Global Feature Registration
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- Authors
- Soon Yong Park, Jae Kyoung Moon, Chang Joon Park, In Ho Lee
- Issue Date
- 2006-09
- Citation
- International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS) 2006 (LNCS 4179), v.4179, pp.275-286
- Language
- English
- Type
- Conference Paper
- Abstract
- A moving object in a video sequence is removed and corresponding background is completed by using a novel global feature registration technique. To find a 2D homography between two adjacent video frames, we track background and foreground features, separately. After estimating the homography, we extract and remove the moving object in every frame. To fill the background of the removed object accurately, we introduce a global feature registration technique. The technique iteratively reduces and distributes the accumulation errors associated to global video registration. Experimental results show that the proposed technique yields seamless background sequences. © Springer-Verlag Berlin Heidelberg 2006.
- KSP Keywords
- Moving Object Removal, Video registration, global feature, video frames, video sequences